Back to listCategory performance Workaround partial Stage debug Freshness persistent Scope single_lib Upstream open Recurring Yes Buyer Type enterprise Maintainer active
Poor Performance with Large Data Volumes and Analytics
8/10 HighPostgreSQL is not optimal for applications requiring real-time or near-real-time analytics. For massive single datasets (billions of rows, hundreds of gigabytes) with frequent joins, queries can take hours. PostgreSQL lacks native columnar storage support, necessitating non-core extensions and increasing architectural complexity.
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Query: “What are the most common pain points with PostgreSQL for developers in 2025?”3/29/2026
For massive single datasets (billions of rows, hundreds of gigabytes), especially with frequent joins, PostgreSQL performance can be extremely slow, with queries potentially taking hours. PostgreSQL does not natively support columnar storage, a crucial feature for efficient analytical workloads.
Created: 3/29/2026Updated: 3/29/2026